Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/karaposu/facexformer-pipeline
https://github.com/karlchahine/neural-cover-selection-for-image-steganography
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/kartik-3004/facexbench
https://github.com/kaseris/ILSVRCPlus
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/kaushal-k/Deep-Emotion
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
https://github.com/kaushalshetty/Structured-Self-Attention
https://github.com/kawshik8/DL-project
https://github.com/kbpi314/iclust_paper
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/kbsriharsha/FacialEmotionAnalysis
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/kclip/localized-adaptive-risk-control
https://github.com/kdhingra307/temp
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/keetsky/Net_ghostVLAD-pytorch
https://github.com/keillernogueira/exploit-cnn-rs
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ken-power/CVND-FacialKeypointDetection
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
https://github.com/kenkenling/NLP
https://github.com/kenomo/industrial-clip
https://github.com/kentaroy47/BlazeFace_Person.pytorch
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
https://github.com/keras-team/keras-applications
https://github.com/khai9xht/Multitask_head_pose
Simultaneous face detection and 360 degree headpose estimation
https://github.com/khaled2ahmed/k2a
https://github.com/khawajatalhahaseeb/Class-Activation-Map-Keras
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/khrlimam/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/khurram702/StyleBasedGAN
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/khyeyoon/face_recognition
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/kim1102/PPL-MFR
https://github.com/kingcong/HRNetW48_seg
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/kingcong/Zero-DCE
Low-Light Image and Video Enhancement Using Deep Learning: A Survey
https://github.com/kingcong/Zero-DCE-
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
https://github.com/kingcong/gpu_ESRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/kingcong/gpu_FaceAttribute
https://github.com/kingcong/gpu_HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/kingcong/gpu_SE-Net
https://github.com/kingcong/resnet
https://github.com/kingsj0405/pulse-any-image
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/kiranu1024/deep-learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.